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SYSTEMS AND METHODS FOR ASSESSING AND IMPROVING STUDENT COMPETENCIES

机译:评估和提高学生能力的系统和方法

摘要

A skills learning method for a student gathers objective data relating to the student in response to various stimuli, and produces a predicted feedback units as a function of the objective data using a machine learning-base classifier. The method can include training a neural network using objective data of student interactions and associated subjective assessments of a skill of each objective data. The method includes receiving a new dataset with objective data of a new student and an associated subjective assessment of a skill of the first student represented by the new objective data. A predicted assessment of the skill of the new objective data is calculated by inputting the new objective data into the neural network. The method can include updating the neural network by combining the initial dataset and the new
机译:用于学生的技能学习方法响应于各种刺激来收集与该学生有关的客观数据,并使用基于机器学习的分类器根据该客观数据生成预测的反馈单元。该方法可以包括使用学生互动的客观数据和每个客观数据的技能的相关主观评估来训练神经网络。该方法包括接收具有新学生的客观数据的新数据集以及由新目标数据表示的对第一学生的技能的相关主观评估。通过将新的目标数据输入到神经网络中,可以计算出对新目标数据的技能的预测评估。该方法可以包括通过组合初始数据集和新数据集来更新神经网络。

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